NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.
We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you: a Computer Science or Computing Engineering grad student to support our NVIDIA Back End Compiler Team! Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.
What you’ll be doing:
Investigate problems or improvement opportunities within the NVIDIA Compiler Back End – consistent with your compiler experience and knowledge.
Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages
What we need to see:
Currently pursuing your Master's degree in Computer Science or Computer Engineering. A Bachelor's degree is required.
Successful completion of an undergraduate Compiler Design class.
Strong writing and oral skills, as well as an ability to follow best practices for Software Engineering.
You possess strong coding skills with C/C++
Ways to stand out from the crowd:
You wish to specialize in Compiler Design and Construction and have pursued graduate coursework in these areas.
Possess hands-on experience with backend compiler design and code generation.
Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)
Experience with in any of the following areas is a plus: GPU and parallel architectures; CUDA and/or PTX; Graphics (OpenGL, DX or Vulkan).
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Similar Jobs
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
